A digital agricultural cloud platform

Abstract

The present invention provides a digital agricultural cloud platform, including a technology database, a processing module, and a communication module; wherein the technology database is used to store planting technologies, and the planting technologies include standard planting technologies and alternative planting technologies; the communication module is used to realize the communication between the processing module and the distributed monitoring equipment and the user end, and the distributed monitoring equipment is arranged in each planting scene, and the user end corresponds to the planting scene; the processing module is used to identify anomalies based on the detection data of the distributed monitoring equipment, and when anomalies are identified, the planting technology in the technology database is called, and push information is generated based on the planting technology, and the push information is pushed to the user end. The digital agricultural cloud platform of the present invention pushes reasonable planting technologies to users based on the analysis of the detection data of the planting scenes, which greatly improves the working effectiveness of the platform.

Description

Technical Field

[0001] The present invention relates to the field of smart agricultural technology, and in particular to a digital agricultural cloud platform. Background Art

[0002] With the development of information technologies such as big data, the Internet of Things, and cloud computing, "smart agriculture" has become a keyword for the future development of agriculture. With the advent of the cloud era, cloud service technology has received widespread attention and applied research due to its advantages of weakening the requirements for clients, breaking through the traditional information dissemination model, and delivering messages to farmers without obstacles. By building an intelligent management platform for agricultural resources and promoting the application of agricultural big data, it can effectively promote the integration of information technology with agricultural production management, business management, market circulation, resources and environment, and improve the level of agricultural intelligence and precision. However, the current smart agricultural platform only includes information sections, variety technology sections, agricultural and commercial sections, etc., which can only provide some information, but this information is not targeted, and requires a high level of knowledge reserves for farmers, and the actual use experience is very poor. Some smart agricultural platforms will also include interactive sections, but this requires the platform to reserve a large number of technical personnel to provide consultation and reply work, which is almost impossible to achieve.

[0003] It can be seen that how to improve the utilization efficiency of digital agricultural cloud platforms is a technical problem that needs to be solved urgently. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a digital agricultural cloud platform to improve the utilization efficiency of the digital agricultural cloud platform.

[0005] The first aspect of the present invention provides a digital agricultural cloud platform, including a technical database, a processing module, and a communication module, wherein the processing module is connected to the technical database and the communication module; wherein:

[0006] The technology database is used to store planting technologies, including standard planting technologies and alternative planting technologies;

[0007] The communication module is used to realize the communication between the processing module and the distributed monitoring device and the user end, the distributed monitoring device is arranged in each planting scene, and the user end corresponds to the planting scene;

[0008] The processing module is used to identify anomalies based on the detection data of the distributed monitoring equipment, and when an anomaly is identified, call the planting technology in the technology database, generate push information based on the planting technology, and push the push information to the user end.

[0009] Optionally, the processing module performs abnormality identification based on the detection data of the distributed monitoring device, including:

[0010] Receive and process and analyze the detection data to obtain analysis results;

[0011] The growth stage of the corresponding crop is determined based on a number of previous detection data, and it is judged whether the analysis result matches the growth stage. If so, there is no abnormality; otherwise, it is judged to be abnormal.

[0012] Optionally, the analysis result is the growth status of the crop, and the growth status at least includes the size of the crop plant. Then:

[0013] The amount of the prior detection data is proportional to the size of the crop plant.

[0014] Optionally, the processing module generates push information based on the planting technology, including:

[0015] The analysis result is matched with the planting technology in the technology database. If there is a matching result, the matching planting technology is used as the push information; if there is no matching result, the preset prompt information is used as the push information.

[0016] Optionally, matching the analysis result with the planting technology in the technology database, and if a matching result exists, using the matching planting technology as the push information, includes:

[0017] The analysis result is matched with the standard planting technology. If there is a matching result, the matched standard planting technology is used as the push information; if there is no matching result, the analysis result is matched with the alternative planting technology. If there is a matching result, the matched alternative planting technology is used as the push information.

[0018] Optionally, after pushing the push information to the user terminal, the processing module further includes:

[0019] Scheduling the communication module to continue receiving detection data of the distributed monitoring device;

[0020] Based on the detection data, determine whether the planting technology in the push information has been executed. If so, continue to determine whether the anomaly disappears based on the detection data; if not, extract and integrate the user's planting behavior sequence based on the detection data, and continue to determine whether the anomaly disappears based on the detection data.

[0021] Optionally, if the anomaly disappears, the push weight of the planting technology in the push information is increased, or a new alternative planting technology is generated based on the planting behavior sequence and updated to the technology database.

[0022] Optionally, the distributed monitoring equipment includes a camera, a planting equipment operation data monitoring device, and at least one of a carbon dioxide sensor, a soil temperature and humidity sensor, an air temperature and humidity sensor, and a soil element sensor.

[0023] Optionally, the digital agriculture cloud platform further includes:

[0024] Information module, used to aggregate agricultural news and decision-making information, including but not limited to agricultural policies and regulations, decision-making references of agricultural management departments, agricultural intelligence, scientific and technological progress, and wealth-making information;

[0025] The agricultural business module is used to provide functions such as unsalable agricultural products, sales assistance, supply and marketing docking, and agricultural enterprise base display;

[0026] The consultation module is used to build a communication channel between agricultural producers and agricultural experts, including hotline service, two-way video consultation service, and online customer service.

[0027] Optionally, the consulting module is used to build the communication channel only when the processing module determines that the planting technology in the pushed information has not been executed.

[0028] The beneficial effects of the present invention are:

[0029] The digital agricultural cloud platform of the present invention builds a technical database and pushes reasonable planting techniques to users based on abnormal analysis of detection data of planting scenes. Compared with the platform in the prior art that can only push agricultural information indiscriminately and unidirectionally, the digital agricultural cloud platform of the present invention has significantly stronger problem-solving capabilities and efficiency, greatly improving the work effectiveness of the platform, improving farmers' user experience, and significantly improving agricultural production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 It is a structural schematic diagram of a digital agricultural cloud platform disclosed in an embodiment of the present invention;

[0032] Figure 2It is a structural schematic diagram of another digital agricultural cloud platform disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0034] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0036] In the description of the present invention, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. appear to indicate an orientation or position relationship, they are based on the orientation or position relationship shown in the accompanying drawings, or are the orientation or position relationship in which the product of the invention is usually placed when used. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0037] In addition, the terms “first”, “second”, etc., if used, are merely used to distinguish between the descriptions and should not be understood as indicating or implying relative importance.

[0038] It should be noted that, in the absence of conflict, the features in the embodiments of the present invention may be combined with each other.

[0039] See also Figure 1 , Figure 1 Schematic diagram of the structure of a digital agricultural cloud platform disclosed in an embodiment of the present invention. Figure 1 As shown, a digital agricultural cloud platform according to an embodiment of the present invention comprises a technical database (101), a processing module (102), and a communication module (103), wherein the processing module (102) is connected to the technical database (101) and the communication module (103); wherein:

[0040] The technology database (101) is used to store planting technologies, including standard planting technologies and alternative planting technologies;

[0041] The communication module (103) is used to realize the communication between the processing module (102) and the distributed monitoring equipment and the user end, the distributed monitoring equipment is arranged in each planting scene, and the user end corresponds to the planting scene;

[0042] The processing module (102) is used to identify anomalies based on the detection data of the distributed monitoring device, and when an anomaly is identified, call the planting technology in the technology database (101), generate push information based on the planting technology, and push the push information to the user end.

[0043] In an embodiment of the present invention, the digital agricultural cloud platform includes a technical database, a processing module and a communication module, wherein two types of planting techniques are stored in the technical database, and the standard planting technique is a standard planting technique that has been proven to be effective based on a large number of theories and practices, such as the standard planting technique summarized by agricultural experts, which can be the standard planting technique in industry specifications or textbooks; and the alternative planting technique is a planting technique that has been proven to be effective in a small scale, such as the planting experience summarized by individual farmers themselves. The processing module can obtain the crop growth data on site through the distributed monitoring equipment set in the planting scene. When an abnormality is found, the appropriate planting technique can be retrieved from the technical database and pushed to the user, thereby providing planting guidance to the user. Compared with the smart agricultural management system in the prior art, which can only passively and indiscriminately provide agricultural consulting information or provide manual consulting services with poor experience, the digital agricultural cloud platform of the present invention can automatically push appropriate disposal solutions based on the actual situation of the planting site, which significantly improves the effective working efficiency of the agricultural cloud platform.

[0044] The planting scenes served by the digital agricultural cloud platform in the present invention may include greenhouses, open-air farms, or mixed planting scenes. The digital agricultural cloud platform in the present invention is constructed on the server side. The server type may be an independent server (i.e., a so-called physical server), a virtual host, a virtual private server (VPS), a cloud server, etc., wherein the independent server includes but is not limited to a tower server, a rack server, a blade server, a high-density server, etc.

[0045] In addition, in order to further improve the performance and stability of the digital agricultural cloud platform in the present invention, the platform can be built through cluster storage technology to achieve high-performance, high-reliability, and easy-to-manage and maintain data storage and management, and virtualization technology can be used to unify resource interfaces, simplify deployment processes, and achieve parallel computing, etc. Load balancing is used to expand the bandwidth of network devices and servers, increase throughput, and effectively improve the flexibility and availability of the network.

[0046] Optionally, the processing module (102) performs abnormality identification based on the detection data of the distributed monitoring device, including:

[0047] Receive and process and analyze the detection data to obtain analysis results;

[0048] The growth stage of the corresponding crop is determined based on a number of previous detection data, and it is judged whether the analysis result matches the growth stage. If so, there is no abnormality; otherwise, it is judged to be abnormal.

[0049] In an embodiment of the present invention, the processing module can understand the real-time growth status of the crop by analyzing the detection data. At the same time, the growth status of different growth stages is different. The present invention determines whether the crop growth is normal based on the matching of the real-time growth status and the growth stage. For example, taking corn as an example, the growth cycle of corn is generally 100-120 days. At the ear stage, its plant basically reaches the normal plant height. If it is found based on the detection data that the corn plant obviously does not reach the normal plant height, it can be identified as abnormal. In addition, it is necessary to establish in advance the correlation between each growth stage and the normal growth status of the plant. It can be done by fitting several plant photos at different growth stages into standard plant images to obtain a standard plant image set, which is associated with the growth stage; it can also be done by extracting features from several plant photos at different growth stages, fitting the features to obtain standard plant features, establishing a standard plant feature set and associating it with the growth stage.

[0050] Optionally, the analysis result is the growth status of the crop, and the growth status at least includes the size of the crop plant. Then:

[0051] The amount of the prior detection data is proportional to the size of the crop plant.

[0052] In the embodiment of the present invention, since the alternating or continuous planting of crops in the planting scene is very frequent, it is difficult to require farmers to upload the starting time of crop planting. At the same time, after the crop reaches a certain growth stage, the change of the plant is usually small, and it is difficult to analyze the growth stage of the crop at this time. In response to this problem, the present invention sets a solution for determining the growth stage of the crop based on the size of the crop plant, that is, if the plant size is large, for example, close to the normal plant size threshold, more prior detection data is retrieved, so that the growth stage of the crop can be analyzed using the growth data of a longer period of time, and vice versa, the growth stage of the crop can be analyzed using the growth data of a shorter period of time. For example, a curve of plant characteristic changes is drawn based on previous detection data. When the plant size is large, it means that its growth is basically close to maturity and the plant characteristics change little (for example, the size of corn plants changes little during the ear stage and the grain stage). Therefore, it is necessary to use data from a longer period of time to draw a growth curve, which can make the growth curve more obvious and help to determine the current growth stage. When the plant size is small, it means that it is in a rapid growth period and the plant characteristics will change greatly. At this time, not much data is needed, and the growth curve drawn with growth data in a short period of time can accurately identify the growth stage of the crop.

[0053] Optionally, the processing module (102) generates push information based on the planting technology, including:

[0054] The analysis result is matched with the planting technology in the technology database (101); if a matching result exists, the matching planting technology is used as the push information; if no matching result exists, a preset prompt information is used as the push information.

[0055] In an embodiment of the present invention, when an abnormality is identified, the appropriate planting technology can be quickly retrieved by matching the analysis results with the planting technology, and then pushed to the user for guidance. Among them, it is necessary to pre-establish an association between the analysis results and the planting technology, that is, to pre-associate various abnormal situations with corresponding processing methods, and the method of establishing the association relationship can refer to the aforementioned method of establishing the growth stage and the analysis results, which will not be repeated in the present invention.

[0056] Optionally, matching the analysis result with the planting technology in the technology database (101), and if a matching result exists, using the matching planting technology as the push information, includes:

[0057] The analysis result is matched with the standard planting technology. If there is a matching result, the matched standard planting technology is used as the push information; if there is no matching result, the analysis result is matched with the alternative planting technology. If there is a matching result, the matched alternative planting technology is used as the push information.

[0058] In the embodiment of the present invention, the cost of trial and error is very high for agricultural planting, so the present invention gives priority to pushing standard planting techniques to users, and for difficult abnormal situations, pushes alternative planting techniques to users. Of course, when pushing alternative planting techniques, a full description should be given, including the popularity of the alternative planting techniques, various possible risks, etc.

[0059] Optionally, after pushing the push information to the user terminal, the processing module (102) further includes:

[0060] Scheduling the communication module (103) to continue receiving detection data from the distributed monitoring device;

[0061] Based on the detection data, determine whether the planting technology in the push information has been executed. If so, continue to determine whether the anomaly disappears based on the detection data; if not, extract and integrate the user's planting behavior sequence based on the detection data, and continue to determine whether the anomaly disappears based on the detection data.

[0062] Optionally, if the anomaly disappears, the push weight of the planting technology in the push information is increased, or a new alternative planting technology is generated based on the planting behavior sequence and updated to the technology database.

[0063] In the embodiment of the present invention, in addition to pushing the planting technology to the farmers, the present invention also tracks the actual effect of the pushed planting technology. If the planting technology is executed by the user, it can be identified based on the detection data in the subsequent time period whether the aforementioned anomaly disappears or weakens. If so, it means that the planting technology is effective. At this time, the weight of the planting technology can be increased, so that when multiple planting technologies are hit in the subsequent matching calculation process, the planting technology can be selected based on the weight. At the same time, the farmer may not adopt the planting technology pushed by the platform. At this time, the actual planting behavior of the farmer after rejecting the pushed planting technology can be analyzed based on the detection data. If the aforementioned anomaly disappears or weakens based on the analysis of the detection data, it means that the farmer has mastered an effective non-standard planting technology. At this time, the planting behavior sequence of the farmer is sorted into a new alternative planting technology and updated in the technology database. Therefore, the scheme of the present invention forms a benign dynamic cycle process. While solving the abnormal planting situation of farmers, it can also realize the continuous updating of the technology database, and the newly added planting technology is also proven to be effective, which can greatly guarantee the reliability of the planting technology in the technology database.

[0064] In addition, in order to further ensure the reliability of planting technology, update conditions for alternative planting technology can be set. For example, when the valid number of the farmer's planting behavior sequence reaches a threshold M, or the same planting behavior sequence of more than N farmers is proven to be valid, it will be updated to the alternative planting technology in the technology database.

[0065] Optionally, the distributed monitoring equipment includes a camera, a planting equipment operation data monitoring device, and at least one of a carbon dioxide sensor, a soil temperature and humidity sensor, an air temperature and humidity sensor, and a soil element sensor.

[0066] In an embodiment of the present invention, several different types of monitoring equipment can be deployed in various planting scenes as needed. For example, cameras can be used to analyze the growth status of crops through image recognition technology; the planting equipment operation data monitoring device can obtain farmers' operation data of various equipment in the planting scene (such as irrigation equipment, ventilation equipment, lighting equipment, heating equipment, fertilization equipment, etc.), and such data can be used to analyze farmers' planting behaviors; and various types of sensors can be used to assist in analyzing the current growth status of crops and farmers' planting behaviors. Of course, in addition to the sensors listed above, other types of sensors can be selected according to design needs, which will not be repeated in the present invention.

[0067] Optionally, refer to Figure 2 , the digital agriculture cloud platform provided by the present invention further includes:

[0068] The information module (104) is used to aggregate agricultural news and decision-making information, including but not limited to agricultural policies and regulations, decision-making references of agricultural management departments, agricultural intelligence, scientific and technological progress, and information on how to get rich;

[0069] The agricultural business module (105) is used to provide functions such as unsalable agricultural products, sales assistance, supply and marketing docking, and agricultural enterprise base display;

[0070] The consultation module (106) is used to build a communication channel between agricultural producers and agricultural experts, including hotline service, two-way video consultation service, and online customer service.

[0071] In an embodiment of the present invention, the digital agricultural cloud platform of the present invention can not only provide solutions to planting anomalies, but also provide other services, such as various types of information, agricultural and commercial information, consulting services, etc., to provide farmers with comprehensive planting guidance.

[0072] Optionally, the consulting module (106) is used to establish the communication channel only when the processing module (102) determines that the planting technology in the pushed information has not been executed.

[0073] In the embodiment of the present invention, since it is generally difficult for the platform to organize enough technical experts to provide farmers with real-time manual consulting services, the digital agricultural cloud platform of the present invention preferentially solves abnormal situations by pushing information, and only allows the establishment of manual channels when the pushed planting technology is not adopted by farmers. Of course, for the above-mentioned information and agricultural and commercial information, this restriction condition can be set without setting.

[0074] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0075] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0076] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0077] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A digital agricultural cloud platform, characterized by: It includes a technical database, a processing module, and a communication module, wherein the processing module is connected to the technical database and the communication module; wherein, The technology database is used to store planting technologies, which include standard planting technologies and alternative planting technologies; wherein the standard planting technologies are standard planting technologies in industry specifications or textbooks, and the alternative planting technologies are planting technologies that have been proven to be effective on a small scale; The communication module is used to realize the communication between the processing module and the distributed monitoring device and the user end, the distributed monitoring device is arranged in each planting scene, and the user end corresponds to the planting scene; The processing module is used to identify anomalies based on the detection data of the distributed monitoring device, and when an anomaly is identified, call the planting technology in the technology database, generate push information based on the planting technology, and push the push information to the user end; The processing module performs abnormality identification based on the detection data of the distributed monitoring device, including: Receive and process and analyze the detection data to obtain analysis results; Determine the growth stage of the corresponding crop based on a number of previous detection data, and judge whether the analysis result matches the growth stage. If so, there is no abnormality; otherwise, it is judged as abnormal; The analysis result is the growth status of the crop, which at least includes the size of the crop plant. Then: The amount of the prior detection data is proportional to the size of the crop plant. Specifically, if the plant size is large, that is, close to the normal plant size threshold, more prior detection data are retrieved to use the growth data of a longer period to analyze the growth stage of the crop, and vice versa, the growth data of a shorter period is used to analyze the growth stage of the crop; a change curve of plant characteristics is drawn based on the prior detection data. When the plant size is large, it means that its growth is basically close to maturity and the plant characteristics change little. At this time, the growth curve is drawn using data from a longer period of time to make the growth curve more obvious, which is conducive to judging which growth stage it is currently in; and when the plant size is small, it means that it is in a rapid growth period and its plant characteristics will change greatly. At this time, not too much data is needed, and the growth curve drawn using the growth data in a short period of time can accurately identify the growth stage of the crop; The processing module generates push information based on the planting technology, including: Matching the analysis result with the planting technology in the technology database, and if there is a matching result, using the matching planting technology as the push information; if there is no matching result, using the preset prompt information as the push information; Matching the analysis result with the planting technology in the technology database, and if there is a matching result, using the matching planting technology as the push information, including: Matching the analysis result with the standard planting technique, and if there is a matching result, using the matching standard planting technique as the push information; if there is no matching result, matching the analysis result with the alternative planting technique, and if there is a matching result, using the matching alternative planting technique as the push information; The processing module, after pushing the push information to the user terminal, further includes: Scheduling the communication module to continue receiving detection data of the distributed monitoring device; Determine whether the planting technique in the push information is executed based on the detection data, and if so, continue to determine whether the anomaly disappears based on the detection data; if not, extract and integrate the planting behavior sequence of the user based on the detection data, and continue to determine whether the anomaly disappears based on the detection data; If the anomaly disappears, the push weight of the planting technology in the push information is increased, or a new alternative planting technology is generated based on the planting behavior sequence and updated to the technology database.

2. A digital agricultural cloud platform according to claim 1, characterized in that: The distributed monitoring equipment includes a camera, a planting equipment operation data monitoring device, and at least one of a carbon dioxide sensor, a soil temperature and humidity sensor, an air temperature and humidity sensor, and a soil element sensor.

3. A digital agricultural cloud platform according to claim 2, characterized in that: The digital agricultural cloud platform also includes: Information module, used to aggregate agricultural news and decision-making information, including but not limited to agricultural policies and regulations, decision-making references of agricultural management departments, agricultural intelligence, scientific and technological progress, and wealth-making information; The agricultural business module is used to provide functions such as unsalable agricultural products, sales assistance, supply and marketing docking, and agricultural enterprise base display; The consultation module is used to build a communication channel between agricultural producers and agricultural experts, including hotline service, two-way video consultation service, and online customer service.

4. A digital agricultural cloud platform according to claim 3, characterized in that: The consultation module is used to build the communication channel only when the processing module determines that the planting technology in the pushed information has not been executed.

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